This project is mirrored from https://github.com/pymc-devs/pymc3.git. Pull mirroring updated .
  1. 12 May, 2020 2 commits
  2. 11 May, 2020 2 commits
  3. 10 May, 2020 1 commit
  4. 05 May, 2020 1 commit
    • Ahan M R's avatar
      Closes #3051 - logp numpy array input fixed (#3836) · 18f1e513
      Ahan M R authored
      * Closes #3051 - logp numpy array input- fixed
      
      Converts 'int' type to <TensorType(int64,Scalar)> to parse value to `astype` and allows arguments to `logp(self,value)` when called with numpy array.
      
      * Closes #3051 - Allows numpy array input to logp
      
      Allows `logp(self,value)` to take `value` input of type numpy array without errors
      
      * fixes #3051
      
      * Fixes #3051
      
      * updated RELEASE-NOTES.md
      
      Added the deprecation of `sd` with `sigma` in newer version with DeprecationWarning on usage of `sd`.
      
      * directly use floatX
      
      * mention #3836
      
      * move all deprecations into their own chapter, as done in previous releases
      
      * add regression test
      Co-authored-by: default avatarMichael Osthege <michael.osthege@outlook.com>
      18f1e513
  5. 04 May, 2020 1 commit
    • Jonathan Sedar's avatar
      Update robust glm notebook (#3908) · 727b88ad
      Jonathan Sedar authored
      * updated the Hogg notebook
      
      * attempted to clarify the kwargs in sample() docstring describing how to pass kwargs to the steppers
      
      I believe this fixes https://github.com/pymc-devs/pymc3/issues/3197
      
      I also noted this need for more clarity in my updated notebook in this PR
      
      `pymc3/docs/source/notebooks/GLM-robust-with-outlier-detection.ipynb`
      
      * Remove deprecated stuff (#3906)
      
      * remove file which is not used
      
      * remove deprecated code
      
      * repair tests and notebooks that used deprecated API
      
      * mention #3906
      Co-authored-by: default avatarMichael Osthege <zufallsprinzip@hotmail.de>
      
      * add deprecation warnings for old backends (#3902)
      
      * add deprecation warnings for old backends
      
      * mention backend deprecation #3902
      
      * fix typo
      Co-authored-by: default avatarColin <ColCarroll@users.noreply.github.com>
      Co-authored-by: default avatarMichael Osthege <zufallsprinzip@hotmail.de>
      Co-authored-by: default avatarColin <ColCarroll@users.noreply.github.com>
      
      * minor formatting to notebook and rework of docstring for sample function
      
      notebook: dropped all headings one level lower to comply with TOC logic, and very minor language edits
      
      sampling.py: clarifired language around single vs compoundstep
      
      * updated the Hogg notebook
      
      * attempted to clarify the kwargs in sample() docstring describing how to pass kwargs to the steppers
      
      I believe this fixes https://github.com/pymc-devs/pymc3/issues/3197
      
      I also noted this need for more clarity in my updated notebook in this PR
      
      `pymc3/docs/source/notebooks/GLM-robust-with-outlier-detection.ipynb`
      
      * minor formatting to notebook and rework of docstring for sample function
      
      notebook: dropped all headings one level lower to comply with TOC logic, and very minor language edits
      
      sampling.py: clarifired language around single vs compoundstep
      
      * updates folowing AlexAndorra review:
      
      upgrade to arviz=0.7
      set prior params to slightly simpler (more justifiable) values, and testvals to simplier defaults
      explanatory clarifications
      formatting, typos,
      
      * removed the note re step_kwargs, since this PR updates the appropriate docstring
      
      * a cell had become markdown, silly. reset it to code and rerun
      
      * minor code reformatting via black_nbconvert, final check and re-run
      
      * rerun notebook purely as a lazy but safe way to trigger new CI
      727b88ad
  6. 03 May, 2020 2 commits
  7. 01 May, 2020 1 commit
  8. 29 Apr, 2020 1 commit
  9. 28 Apr, 2020 3 commits
  10. 27 Apr, 2020 1 commit
  11. 25 Apr, 2020 1 commit
  12. 23 Apr, 2020 2 commits
  13. 21 Apr, 2020 2 commits
  14. 20 Apr, 2020 4 commits
  15. 19 Apr, 2020 2 commits
  16. 18 Apr, 2020 1 commit
  17. 12 Apr, 2020 2 commits
  18. 11 Apr, 2020 1 commit
  19. 09 Apr, 2020 1 commit
  20. 07 Apr, 2020 1 commit
    • Fearghus's avatar
      ENH: Moyal distribution (#3870) · 3add916e
      Fearghus authored
      * Added Moyal distribution to continuous class. Added tests for Moyal distribution.
      
      * Release notes updated.
      
      * Added float32 exception for Moyal dist in tests.
      3add916e
  21. 06 Apr, 2020 2 commits
  22. 03 Apr, 2020 1 commit
  23. 01 Apr, 2020 1 commit
    • Fearghus's avatar
      NegativeBinomial distribution sample generator wrapper (#3866) · 0456f397
      Fearghus authored
      * Added wrapper for gamma sampling in negative binomial distribution.
      
      * Fixed typo in posterior sampling warnings.
      
      * Drop nuts init method from pm.sample (#3863)
      
      * Dropped nuts init method
      
      * Dropped nuts init method from tests
      
      * Refined doc string and added release note
      
      * Added wrapper for gamma sampling in negative binomial distribution.
      
      * Fixed typo in posterior sampling warnings.
      
      * Added test for negative binomial input shape.
      
      * Updating release notes with changes to negative binomial sampling.
      Co-authored-by: default avatarAlexandre ANDORRA <andorra.alexandre@gmail.com>
      0456f397
  24. 31 Mar, 2020 1 commit
  25. 30 Mar, 2020 3 commits